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Record W1588906369 · doi:10.1109/irps.2015.7112802

Employing transistor reliability testing as an FA tool for understanding HTOL product BIST failures

2015· article· en· W1588906369 on OpenAlexaff
A. Yassine, Lauren Blair, Wayland Seifert

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsAdvanced Micro Devices (Canada)
FundersAdvanced Micro Devices
KeywordsReliability (semiconductor)Materials scienceTransistorThreshold voltageStress (linguistics)OptoelectronicsReliability engineeringElectrical engineeringVoltageEngineeringPhysics

Abstract

fetched live from OpenAlex

We observed large Vmin shift on products produced using 28nm process during high temperature operating life (HTOL) testing. Failure analysis (FA) revealed that some of the n-channel metal oxide semiconductor field-effect (MOSFET) transistors of the failing cells have very low threshold (Vt) voltages. Those measured Vt values were unexpected and caused concern. In this study, we present the use of transistor reliability testing using nano-probing as an FA tool for understanding the built-in self-test (BIST) failures that we observed on some products during HTOL qualification. The study identified that the Vt shift was due to parametric shift under off-state stress. We found that the off-state stress (Vd = Vs = Vstress and Vg=0) caused the Vt to shift to lower value creating large imbalance in the cells, which caused Vmin failure. A correlation was found between the initial Vt value and the Vt shift. The finding led to employing additional Vmin guardband and changes in the stress pattern used during HTOL stress.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.142
GPT teacher head0.286
Teacher spread0.144 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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